Simulated career choice trajectoryread more
Information
-1
0
1
1.0 Consideration (θ1)
2
2.0 Decision (θ2)
3
Fit of career option (xo , xp)
Time
Parameters
m: Exploration tendency:
α: Accuracy:
θ1: Consideration threshold:
θ2: Decision threshold:
Back to defaults
Animation Speed
1
2
3
4
Set and run
Options under consideration
1
2
3
      Objective fit (xo)
      Perceived fit (xp)
Exploration summary
broad explorations
0
in-depth explorations
0
options considered
0
Timesteps
1. Perc. Fit
1. Obj. Fit
2. Perc. Fit
2. Obj. Fit
3. Perc. Fit
3. Obj. Fit
Experience








About the Career Choice Model
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Publication

This animation is an interactive implementation of the dynamic model of career choice presented in the publication "A process-oriented approach to understanding career choice." by [NAMES] in [JOURNAL]. For details, refer to the original text [LINK] or contact the authors [E-MAIL ADDRESSES AND RESEARCHGATE LINKS] ***. Web-based implementation as well as graphic animation by Blijlevens (2017) of the company Umanise.


Framework of career choice

Adolescents often struggle to make a suitable career choice out of the large range of available options. As a consequence, many drop out of higher education prematurely, resulting in significant costs to both themselves and society. In our paper, we introduce a novel process-oriented framework aimed at understanding how adolescents make such choices. We conceptualize career choice as a process built up out of many experiences that result from broad exploration (sampling of new options) and in-depth exploration (further investigating of promising options). These experiences lead individuals to adjust their assessment of career options over time, eventually resulting in a decision.


Simulation and animation of career choice processes

Based on this conceptual framework, we constructed a computational model to simulate a large number of career choice trajectories. In our paper we present an extensive analysis of how the career choice process unfolds in this model, depending on three individual characteristics: 1) the balance between broad and in-depth exploration, 2) the accuracy in assessing how well career options will fit, and 3) the degree of selectiveness (in both considering options, and deciding on options). We partnered with Umanise to develop an interactive web application (above) that the reader can use to generate animated career choice trajectories based on our computational model. The application allows users to enter custom parameter values, and thereby gain first-hand experience with how the different factors affect the career choice process in our model.


Outcomes of our simulation study

Based on our simulation study, we identify the conditions that lead to the emergence of two phase-inadequate features of the career choice process: ruminative exploration (repetitive exploration of the same option) and rash decision making (deciding based on very little exploration). We conclude that although these features are indeed associated with poor decisions in most cases, they are not always harmful, and they can even lead to better choices under some circumstances. Our model generates a number of concrete predictions that can be tested empirically, and, if supported by empirical evidence, can result in individually tailored tools to help adolescents make better career choices. More generally, our study shows how explicitly considering the dynamic aspects of complex developmental processes can lead to counterintuitive insights that one would not have arrived at by verbal reasoning alone.


*** Note: as the paper is currently under review, the authors need to remain anonymous. As soon as the paper is accepted for publication, all information between square brackets [EXAMPLE] and the university logos will be published here as well.